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### cambridgeltl/mirror-bert-base-uncased-sentence
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An unsupervised sentence encoder proposed by [Liu et al. (2021)](https://arxiv.org/pdf/2104.08027.pdf). Trained with unlabelled raw sentences, using [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the base model. Please use mean-pooling over *all tokens* (including padded ones) as the representation of the input.
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### Citation
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```bibtex
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@inproceedings{
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### cambridgeltl/mirror-bert-base-uncased-sentence
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An unsupervised sentence encoder proposed by [Liu et al. (2021)](https://arxiv.org/pdf/2104.08027.pdf). Trained with unlabelled raw sentences, using [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the base model. Please use mean-pooling over *all tokens* (including padded ones) as the representation of the input.
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Note the model does not replicate the exact numbers in the paper since the reported numbers in the paper are average of three runs.
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### Citation
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```bibtex
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@inproceedings{
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